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结构维护低剂量计算机断层扫描图像使用深度残留适应性全球上下文注意力网络去噪声

Yuanke Zhang1, Dejing Hao1, Yingying Lin1

  • 1School of Computer Science, Qufu Normal University, Rizhao, China.

Quantitative imaging in medicine and surgery
|October 23, 2023
PubMed
概括

本研究介绍了一个自适应的全球上下文 (AGC) 建模方案和一个基于AGC的网络,以提高低剂量计算机断层扫描 (LDCT) 图像质量. 这种新的方法有效地抑制噪音,同时在LDCT扫描中保持细致的解剖结构.

关键词:
低剂量计算机断层扫描 (LDCT)适应性的全球背景关注 (AGC关注)深度残留网络深度残留网络图像去色化 图像去色化多层次的感知损失.

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